This study assesses the capabilities of UAV-based Earth observation for analyzing marginalized communities, using Roma settlements in southeastern Slovakia as a case study. Marginalized populations are often underrepresented in official spatial datasets, resulting in a limited understanding of their living conditions, infrastructure needs, and environmental risks. To address this gap, we propose a multi-scalar, UAV-based observational approach that bridges the limitations of coarse satellite imagery and logistically constrained ground surveys. High-resolution RGB and thermal imagery were acquired across three settlements with varying spatial characteristics and processed using photogrammetric workflows to generate detailed orthophotos and spatial products. The results demonstrate that UAV data with centimeter-level spatial resolution enable precise mapping of settlement morphology, infrastructure, waste distribution, and thermal inequalities. Furthermore, UAV observations enable change detection and environmental risk assessment at scales that are not achievable with conventional remote sensing. However, the study also highlights critical operational and ethical challenges, including regulatory constraints, privacy concerns, and the need for community engagement. By integrating technical evaluation with socially sensitive research practices, this work proposes a methodological framework for responsible UAV deployment in marginalized contexts. The findings underscore the potential of UAV-based observation to improve spatial visibility and support evidence-based planning while emphasizing the importance of ethical implementation.
High-resolution spatial data is crucial for riverine modeling and flood mitigation. Traditional data often lacks necessary resolution or flexibility, making Unmanned Aerial Vehicles (UAVs) a transformative solution for generating precise Digital Elevation Models (DEMs). This systematic review analyzes 65 peer-reviewed...
Nabil Muhamad, Yassir Arafat, A. Yunar· Journal of Geospatial Scienc...· 1 citation
This study presents a UAV-based methodology for monitoring slow-moving landslides using high-resolution data. The case study is the Pietrapertosa earthflow in the Southern Apennines, which showed intermittent activity and impacted a critical road network. The investigation involved nine drone surveys from 2022 to 202...
A. Santo, E. Marino, E. Valente et al.· Landslides· 1 citation
Wildfires in tropical mountain ecosystems are difficult to assess because steep terrain and persistent cloud cover constrain field surveys and satellite observation. This study developed an integrated workflow combining Unmanned Aerial Vehicle (UAV) photogrammetry, Sentinel-2 imagery, and Google Earth Engine to quantif...
Carlos E. Oliveros-Valero, Javier Yesid Villamizar Vera, William Vera Arias et al.· Research in Ecology· 0 citations
Landscape character change in mountain traditional villages is difficult to assess from a single perspective because roof-material replacement, material–color deviation, and visual exposure vary under complex terrain and settlement configurations. This study develops a multi-source UAV framework for reproducible, spati...
Environmental monitoring of freshwater ecosystems faces significant challenges in detecting illicit wastewater discharges, which often remain unrecognized due to their intermittent nature and limited spatial footprint. This study presents a novel integrated strategy combining satellite remote sensing, Unmanned Aerial V...
Mohammed Ajaoud, Andrea Casizzone, Muhammad Zaid Qamar et al.· Applied Sciences· 0 citations
This study evaluates one national Digital Elevation Model (DEM) (CARTOSAT) and eight global DEMs (ALOS12.5, AW3D30, ASTER, COPDEM, FABDEM, GEDTM, NASADEM and SRTM) to represent the topography of 10 chronic landslides in the Garhwal Indian Himalayas, using high‐resolution Uncrewed Aerial Vehicle (UAV)‐derived DEMs as...